Personal handling methods for cyber information warfare

Abstract

This invention relates to a method for analyzing international hot topics in cyber warfare, belonging to the field of cyber warfare technology. Existing technologies suffer from chaotic analysis of real-time international hot topics, high error rates, and easily tampered logical systems. This invention provides an original analysis method, with core elements including: 1. Defining clear analysis objectives; 2. Emphasizing the analysis of "people" involved in the event; 3. Constructing a rational and reasonable event logic system to ensure rigorous and unbiased logic; 4. Relying on verifiable facts to support analytical conclusions, ensuring credibility; and 5. Building a long-term stable analysis model to achieve continuous and reliable judgment. This invention collects information from multiple sources and extracts core elements of "people" and "events," forming an event logic chain through correlation analysis, creating a tamper-proof logical system, and outputting a credible analysis report after verification. Furthermore, this invention features a simple algorithm, high training accuracy, significantly improved operating efficiency, and low model deployment cost, requiring no complex hardware support. It solves the pain points of existing technologies, provides reliable support for cyber warfare situational assessment, and is applicable to various scenarios involving real-time international hot topics.

Description

Technical Field

[0001] This invention belongs to the field of network information warfare technology, specifically relating to a reliable analysis method for international real-time hot events. It is applicable to situational assessment, information identification, and logical construction in network information warfare, providing reliable information support for making judgments. Background Technology

[0002] In the field of cyber warfare, international real-time hot events are often accompanied by the rapid spread of massive amounts of fragmented, false, and one-sided information. Current technologies for analyzing such events generally suffer from logical inconsistencies, missing elements, and unverifiable conclusions. Currently, traditional event analysis methods largely rely on extraction from single information sources or manual judgment, making it difficult to comprehensively connect the core elements of an event, such as "people" and "events," and failing to form a complete logical chain. Furthermore, existing analysis results are susceptible to interference from false information, lack stability, and their logical systems are easily tampered with, leading to unreliable conclusions. This fails to meet the demands of rapid, accurate, and credible analysis of real-time hot events in cyber warfare, and undermines the scientific validity and effectiveness of subsequent judgments. Currently, there is no technical solution capable of "analyzing people and events and completing the logical puzzle of an event, with the resulting multi-entity logic being difficult to alter." Existing technologies cannot effectively address the aforementioned technical pain points. Therefore, an original technical method is urgently needed to fill this technological gap. Summary of the Invention

[0003] I. Purpose of the Invention To address the technical problems of chaotic analysis, unverifiable conclusions, and easily tampered logical systems in existing technologies for analyzing international real-time hot events, this invention provides a credible analysis method for international hot events in the context of online public opinion. This method enables structured, traceable, and verifiable analysis of international real-time hot events, ensuring the credibility and stability of the analysis conclusions and providing reliable technical support for the assessment of cross-border online public opinion trends. II. Core Technology Solution

[0004] The core technical solution adopted in this invention differs from existing conventional technical methods. The specific technical solution is as follows: A method for credible analysis of international hot events in the context of online public opinion includes the following steps: Information collection and preprocessing: Collecting multi-source information related to real-time international hot events, filtering effective information and performing deduplication and noise reduction processing, extracting the core elements of "people" and "events" from the information, including key information such as the main participants in the event, the time, place, process, and related behaviors of the event; Constructing an event logic puzzle: Based on the preprocessed elements of "people" and "events", through multi-dimensional correlation analysis, automatically linking the causal relationships, temporal relationships, and correlation relationships between the elements, completing the construction of the event logic puzzle, forming a complete and coherent event evolution chain, and clearly presenting the ins and outs of the event; Multi-subject logic aggregation and solidification: Based on the behavioral characteristics and information interaction relationships of the main participants in the event and the main disseminators of information, a multi-subject consensus logic system is aggregated; once this logic system is formed, it will rely on a multi-subject information cross-verification mechanism, possessing high stability and anti-interference capabilities, and is difficult to be tampered with or subverted by false information or fragmented public opinion; Analysis Result Verification and Output: The constructed event logic system and analysis conclusions are cross-validated from multiple sources to ensure that the analysis process is traceable and the analysis conclusions are verifiable. Finally, a credible event analysis report is output to support the assessment of cross-border online public opinion trends. III. Core Innovation Points

[0005] The core technological innovations of this invention specifically include: Firstly, it achieves the precise extraction and multi-dimensional correlation analysis of "people" and "events" elements in international hot topics, automatically constructing a logical puzzle of events and solving the problem of logical fragmentation in traditional analysis; Secondly, it constructs a multi-subject logical aggregation and solidification mechanism, which, through cross-verification of information from multiple subjects, makes the resulting logical system of events highly stable, difficult to change once formed, effectively resisting interference from false information, and ensuring the stability and credibility of the analysis conclusions. IV. Technical Effects

[0006] Through the above technical solution, the present invention achieves the following technical effects: It effectively solves the technical problems of chaotic and fragmented logic in the analysis of international real-time hot events in existing technologies, and realizes the structured and systematic analysis of events; The formed event logic system has high stability and anti-interference ability, is difficult to be tampered with, and ensures that the analysis process is traceable, the analysis conclusions are verifiable and credible; It provides reliable technical support for the assessment of cross-border online public opinion, improves the scientificity and accuracy of assessment and decision-making, and fills the gap of this type of technology in corresponding application scenarios. Detailed Implementation

[0007] The present invention will be further described in detail below with reference to specific embodiments, so as to more clearly demonstrate the technical solution and beneficial effects of the present invention.

[0008] This embodiment is applied to the credibility analysis scenario of cross-border internet public opinion hotspots. The specific implementation steps are as follows: Information collection and preprocessing: Collect multi-source public information related to the target event, such as news reports, official statements, and online social comments, through authoritative news media, mainstream social platforms, and official information release channels of multiple countries. Filter effective information and eliminate duplicate and false content, extracting core elements of the event, such as the participants, time of occurrence, geographical location, event evolution process, and related behaviors of all parties; Event logic puzzle construction: Based on the extracted elements of the participants and events, use temporal and causal association algorithms to sort out the initial disagreements, escalation points of conflicts, key behaviors, and derivative impacts of multiple parties, build a complete event logic chain, and clearly restore the complete evolution of the event; Multi-subject logic aggregation and solidification: Integrate information sources and position statements from multiple parties, and form a multi-party consensus logic system through cross-validation algorithms. This system relies on a multi-channel information mutual verification mechanism. After formation, it can automatically identify and exclude false information that tamperes with the chain, and the logical framework has strong stability. Analysis Result Verification and Output: The logical framework and analytical conclusions are verified by retrieving authoritative public information from multiple channels, ensuring the entire analysis process is traceable and the conclusions are verifiable. The final output is a standardized public opinion analysis report, providing data and logical support for assessing cross-border online public opinion trends. Taking a typical cross-border public opinion hotspot as an example, and using the event's timeline as an anchor point, a horizontal comparison with similar cross-border public opinion events reveals common constituent elements: multiple opposing parties, key time nodes, and a clearly defined target. A comprehensive event analysis is then completed by combining publicly available clues from multiple sources, media disclosures, and official signals.

[0009] In this embodiment, the technical solution of the present invention effectively solves the problems of chaotic analysis and fragmented information in the analysis of this international hot topic. The resulting analysis conclusions are verifiable and credible, and the logical system has high stability and is difficult to be tampered with by false information, fully meeting the needs of cross-border online public opinion analysis. Beneficial effects

[0010] This invention belongs to the field of cross-border online public opinion analysis technology. Compared with existing technologies, it has the following significant advantages: High innovation: It is the first to propose the technical approach of "people and events analysis + event logic puzzle," simultaneously achieving the aggregation and solidification of multi-subject logic, breaking through existing technical bottlenecks and filling the technical gap in credible analysis of international hot events in cross-border online public opinion; High practicality: It effectively solves the pain points of existing technologies in analyzing international real-time hot events with confusion and unreliable conclusions, providing stable and reliable analytical support for cross-border online public opinion situation assessment, and improving the efficiency and accuracy of assessment and decision-making; High stability: Once the constructed multi-subject logic system is formed, it is difficult to change, possessing strong anti-interference capabilities, effectively resisting the influence of false information, and ensuring the long-term credibility of the analysis conclusions; Good scalability: It can be applied to the analysis of various international real-time hot events (such as political, economic, and social hotspots), adapting to the assessment needs of different scenarios in cross-border online public opinion. Attached Figure Description

[0011] Figure 1 is a flowchart of the five core elements of a personal approach to cyber information warfare. Figure 1 shows the five key components in sequence: defining the objective, focusing on human analysis, rational and logical reasoning, verifiable facts, and a long-term stable model. The approach of combining open-source fragmented information with AI algorithm analysis certainly requires sufficient case studies for trial and error.

Claims

1. A credibility analysis method for international hot topics in cyber information warfare, characterized in that, It includes the steps of collecting information from multiple sources and extracting "people" and "events" elements, associating them to form an event logic chain, aggregating a multi-subject logical system, and verifying and outputting a credible report.

2. The method according to claim 1, characterized in that, Multi-source information is deduplicated and noise-reduced, and then filtered using natural language processing technology.

3. The method according to claim 1, characterized in that, The logical chain of events is formed through temporal and causal relationship analysis.

4. The method according to claim 1, characterized in that, The multiple stakeholders include the parties involved in the event, third parties, and authoritative media.

5. The method according to claim 1, characterized in that, Applicable to network information warfare analysis of various international hot topics.

6. (1) Information collection and preprocessing: Collect multi-source information on international real-time hot events, and extract the core elements of "people" and "events" after deduplication and noise reduction; (2) Construction of event logic puzzle: Through multi-dimensional correlation analysis, the elements of "people" and "events" are linked to form a complete event evolution chain; (3) Multi-subject logical aggregation and solidification: The aggregation forms a multi-subject consensus logical system, which is difficult to be tampered with by relying on the cross-verification mechanism; (4) Analysis result verification and output: cross-validate the logical system and conclusions, and output a credible analysis report to support the judgment of network information warfare.

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